Overview

Dataset statistics

Number of variables23
Number of observations1400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory251.7 KiB
Average record size in memory184.1 B

Variable types

Numeric23

Alerts

citric acid is highly overall correlated with fixed acidity and 2 other fieldsHigh correlation
fixed acidity is highly overall correlated with citric acid and 1 other fieldsHigh correlation
free sulfur dioxide is highly overall correlated with total sulfur dioxideHigh correlation
pH is highly overall correlated with citric acid and 1 other fieldsHigh correlation
total sulfur dioxide is highly overall correlated with free sulfur dioxideHigh correlation
volatile acidity is highly overall correlated with citric acidHigh correlation
id is uniformly distributedUniform
id has unique valuesUnique
feat01 has unique valuesUnique
feat02 has unique valuesUnique
feat03 has unique valuesUnique
feat04 has unique valuesUnique
feat05 has unique valuesUnique
feat06 has unique valuesUnique
feat07 has unique valuesUnique
feat08 has unique valuesUnique
feat09 has unique valuesUnique
feat10 has unique valuesUnique
citric acid has 119 (8.5%) zerosZeros

Reproduction

Analysis started2024-02-05 20:39:34.019758
Analysis finished2024-02-05 20:40:45.261744
Duration1 minute and 11.24 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean700.5
Minimum1
Maximum1400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:45.365971image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.95
Q1350.75
median700.5
Q31050.25
95-th percentile1330.05
Maximum1400
Range1399
Interquartile range (IQR)699.5

Descriptive statistics

Standard deviation404.2895
Coefficient of variation (CV)0.57714418
Kurtosis-1.2
Mean700.5
Median Absolute Deviation (MAD)350
Skewness0
Sum980700
Variance163450
MonotonicityStrictly increasing
2024-02-05T21:40:45.557574image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
931 1
 
0.1%
939 1
 
0.1%
938 1
 
0.1%
937 1
 
0.1%
936 1
 
0.1%
935 1
 
0.1%
934 1
 
0.1%
933 1
 
0.1%
932 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1400 1
0.1%
1399 1
0.1%
1398 1
0.1%
1397 1
0.1%
1396 1
0.1%
1395 1
0.1%
1394 1
0.1%
1393 1
0.1%
1392 1
0.1%
1391 1
0.1%

alcohol
Real number (ℝ)

Distinct73
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.448952
Minimum8.4
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:45.684972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile9.2
Q19.6
median10.2
Q311.1
95-th percentile12.5
Maximum15
Range6.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.0880099
Coefficient of variation (CV)0.10412622
Kurtosis0.15427588
Mean10.448952
Median Absolute Deviation (MAD)0.7
Skewness0.8476502
Sum14628.533
Variance1.1837655
MonotonicityNot monotonic
2024-02-05T21:40:45.806281image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5 84
 
6.0%
9.4 83
 
5.9%
9.6 76
 
5.4%
9.7 68
 
4.9%
9.3 62
 
4.4%
9.9 56
 
4.0%
9.8 54
 
3.9%
10.1 51
 
3.6%
10.3 42
 
3.0%
9.2 40
 
2.9%
Other values (63) 784
56.0%
ValueCountFrequency (%)
8.4 1
 
0.1%
8.5 1
 
0.1%
8.6 2
 
0.1%
8.7 1
 
0.1%
8.8 1
 
0.1%
8.8 2
 
0.1%
8.9 12
 
0.9%
8.95 1
 
0.1%
9 13
 
0.9%
9.1 33
2.4%
ValueCountFrequency (%)
15 1
 
0.1%
14.1 3
0.2%
13.9 3
0.2%
13.7 2
 
0.1%
13.66666667 1
 
0.1%
13.6 2
 
0.1%
13.4 2
 
0.1%
13.3 7
0.5%
13.2 1
 
0.1%
13.1 4
0.3%

chlorides
Real number (ℝ)

Distinct180
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.088066429
Minimum0.002
Maximum0.611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:45.937469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.052
Q10.068
median0.079
Q30.092
95-th percentile0.13205
Maximum0.611
Range0.609
Interquartile range (IQR)0.024

Descriptive statistics

Standard deviation0.051300686
Coefficient of variation (CV)0.58252262
Kurtosis39.562744
Mean0.088066429
Median Absolute Deviation (MAD)0.011
Skewness5.5429872
Sum123.293
Variance0.0026317604
MonotonicityNot monotonic
2024-02-05T21:40:46.051612image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.074 48
 
3.4%
0.084 41
 
2.9%
0.071 39
 
2.8%
0.078 35
 
2.5%
0.076 35
 
2.5%
0.088 34
 
2.4%
0.064 33
 
2.4%
0.08 33
 
2.4%
0.07 32
 
2.3%
0.077 32
 
2.3%
Other values (170) 1038
74.1%
ValueCountFrequency (%)
0.002 2
 
0.1%
0.031 1
 
0.1%
0.032 2
 
0.1%
0.034 2
 
0.1%
0.035 1
 
0.1%
0.039 5
0.4%
0.04 4
0.3%
0.041 2
 
0.1%
0.042 2
 
0.1%
0.043 1
 
0.1%
ValueCountFrequency (%)
0.611 1
0.1%
0.61 2
0.1%
0.464 1
0.1%
0.457 1
0.1%
0.424 1
0.1%
0.423 1
0.1%
0.415 1
0.1%
0.413 1
0.1%
0.411 1
0.1%
0.404 1
0.1%

citric acid
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct75
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26661429
Minimum0
Maximum1
Zeros119
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:46.432855image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09
median0.26
Q30.42
95-th percentile0.5905
Maximum1
Range1
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.19278174
Coefficient of variation (CV)0.72307354
Kurtosis-0.68103525
Mean0.26661429
Median Absolute Deviation (MAD)0.16
Skewness0.35013263
Sum373.26
Variance0.037164798
MonotonicityNot monotonic
2024-02-05T21:40:46.590066image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119
 
8.5%
0.49 56
 
4.0%
0.24 45
 
3.2%
0.02 39
 
2.8%
0.26 36
 
2.6%
0.08 34
 
2.4%
0.1 33
 
2.4%
0.31 30
 
2.1%
0.3 30
 
2.1%
0.39 29
 
2.1%
Other values (65) 949
67.8%
ValueCountFrequency (%)
0 119
8.5%
0.01 26
 
1.9%
0.02 39
 
2.8%
0.03 26
 
1.9%
0.04 27
 
1.9%
0.05 22
 
1.6%
0.06 25
 
1.8%
0.07 20
 
1.4%
0.08 34
 
2.4%
0.09 23
 
1.6%
ValueCountFrequency (%)
1 2
 
0.1%
0.78 1
 
0.1%
0.76 3
 
0.2%
0.74 2
 
0.1%
0.73 2
 
0.1%
0.7 1
 
0.1%
0.69 1
 
0.1%
0.68 8
0.6%
0.67 2
 
0.1%
0.66 16
1.1%

density
Real number (ℝ)

Distinct676
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99647934
Minimum0.98064
Maximum1.01315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:46.758168image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.98064
5-th percentile0.9849
Q10.9879
median0.996575
Q31.0054425
95-th percentile1.0084
Maximum1.01315
Range0.03251
Interquartile range (IQR)0.0175425

Descriptive statistics

Standard deviation0.0083558371
Coefficient of variation (CV)0.0083853591
Kurtosis-1.351441
Mean0.99647934
Median Absolute Deviation (MAD)0.00874
Skewness0.050165337
Sum1395.0711
Variance6.9820013 × 10-5
MonotonicityNot monotonic
2024-02-05T21:40:46.900972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0076 13
 
0.9%
0.9978 13
 
0.9%
0.9968 13
 
0.9%
1.0072 12
 
0.9%
0.9972 11
 
0.8%
0.9988 11
 
0.8%
0.9882 11
 
0.8%
0.9876 11
 
0.8%
0.9962 11
 
0.8%
0.998 11
 
0.8%
Other values (666) 1283
91.6%
ValueCountFrequency (%)
0.98064 1
0.1%
0.9816 1
0.1%
0.98191 1
0.1%
0.9822 2
0.1%
0.9824 1
0.1%
0.98252 1
0.1%
0.98256 1
0.1%
0.98258 1
0.1%
0.98264 1
0.1%
0.98286 2
0.1%
ValueCountFrequency (%)
1.01315 1
 
0.1%
1.0126 2
0.1%
1.0122 1
 
0.1%
1.0121 1
 
0.1%
1.0115 1
 
0.1%
1.0106 3
0.2%
1.0104 3
0.2%
1.0103 1
 
0.1%
1.0102 3
0.2%
1.01015 1
 
0.1%

feat01
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50728473
Minimum0.00021755206
Maximum0.99956388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:47.030013image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.00021755206
5-th percentile0.049240533
Q10.25874133
median0.52140177
Q30.75882872
95-th percentile0.95574658
Maximum0.99956388
Range0.99934633
Interquartile range (IQR)0.5000874

Descriptive statistics

Standard deviation0.28878203
Coefficient of variation (CV)0.56927009
Kurtosis-1.1851651
Mean0.50728473
Median Absolute Deviation (MAD)0.24945914
Skewness-0.043031079
Sum710.19863
Variance0.083395059
MonotonicityNot monotonic
2024-02-05T21:40:47.196897image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7771744763 1
 
0.1%
0.5638332085 1
 
0.1%
0.84237722 1
 
0.1%
0.004109955626 1
 
0.1%
0.4159476708 1
 
0.1%
0.6129625584 1
 
0.1%
0.9672628611 1
 
0.1%
0.3885025328 1
 
0.1%
0.3417457128 1
 
0.1%
0.7277274141 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0.000217552064 1
0.1%
0.001928177662 1
0.1%
0.002280704677 1
0.1%
0.004109955626 1
0.1%
0.004826665856 1
0.1%
0.005079251947 1
0.1%
0.005579035264 1
0.1%
0.006045773625 1
0.1%
0.007689491613 1
0.1%
0.009949902538 1
0.1%
ValueCountFrequency (%)
0.9995638784 1
0.1%
0.9992646633 1
0.1%
0.9980103406 1
0.1%
0.9979808615 1
0.1%
0.9971447722 1
0.1%
0.9970250104 1
0.1%
0.9969623212 1
0.1%
0.9969018889 1
0.1%
0.9966095015 1
0.1%
0.9952697631 1
0.1%

feat02
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50229934
Minimum0.00031254836
Maximum0.99911847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:47.332295image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.00031254836
5-th percentile0.06063091
Q10.25474118
median0.49724914
Q30.76428968
95-th percentile0.94560223
Maximum0.99911847
Range0.99880592
Interquartile range (IQR)0.5095485

Descriptive statistics

Standard deviation0.28890488
Coefficient of variation (CV)0.57516476
Kurtosis-1.2237777
Mean0.50229934
Median Absolute Deviation (MAD)0.24711803
Skewness0.017137069
Sum703.21908
Variance0.083466029
MonotonicityNot monotonic
2024-02-05T21:40:47.520678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1018107412 1
 
0.1%
0.334574444 1
 
0.1%
0.3449395022 1
 
0.1%
0.6274962763 1
 
0.1%
0.5952103243 1
 
0.1%
0.6811697632 1
 
0.1%
0.6701201713 1
 
0.1%
0.4690047645 1
 
0.1%
0.7027418362 1
 
0.1%
0.434150747 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0.0003125483636 1
0.1%
0.0003629312851 1
0.1%
0.001562509686 1
0.1%
0.00175734004 1
0.1%
0.001887645805 1
0.1%
0.003875341266 1
0.1%
0.004889407894 1
0.1%
0.007890723413 1
0.1%
0.009335653624 1
0.1%
0.009403223637 1
0.1%
ValueCountFrequency (%)
0.999118468 1
0.1%
0.9985423386 1
0.1%
0.9984373441 1
0.1%
0.998228383 1
0.1%
0.9975917398 1
0.1%
0.9967870549 1
0.1%
0.9966884691 1
0.1%
0.9964673873 1
0.1%
0.9964256806 1
0.1%
0.9963916526 1
0.1%

feat03
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49742191
Minimum0.00034946762
Maximum0.99965019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:47.669880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.00034946762
5-th percentile0.050660241
Q10.24274537
median0.48913382
Q30.76179701
95-th percentile0.95795721
Maximum0.99965019
Range0.99930072
Interquartile range (IQR)0.51905164

Descriptive statistics

Standard deviation0.2942213
Coefficient of variation (CV)0.59149244
Kurtosis-1.2422186
Mean0.49742191
Median Absolute Deviation (MAD)0.25819606
Skewness0.062883774
Sum696.39068
Variance0.086566174
MonotonicityNot monotonic
2024-02-05T21:40:47.781904image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6159485122 1
 
0.1%
0.1168370272 1
 
0.1%
0.9894131133 1
 
0.1%
0.7258223626 1
 
0.1%
0.1773315589 1
 
0.1%
0.1909908792 1
 
0.1%
0.393649156 1
 
0.1%
0.06003694446 1
 
0.1%
0.4902304625 1
 
0.1%
0.2214625527 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0.0003494676203 1
0.1%
0.0008005958516 1
0.1%
0.0009178526234 1
0.1%
0.001247834181 1
0.1%
0.001448186114 1
0.1%
0.002665830776 1
0.1%
0.00300002913 1
0.1%
0.004058495862 1
0.1%
0.005465934286 1
0.1%
0.005634496454 1
0.1%
ValueCountFrequency (%)
0.9996501894 1
0.1%
0.999329126 1
0.1%
0.9991687273 1
0.1%
0.99881956 1
0.1%
0.9981680885 1
0.1%
0.9977046542 1
0.1%
0.9972254038 1
0.1%
0.9964895435 1
0.1%
0.9954542916 1
0.1%
0.9942563758 1
0.1%

feat04
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56610493
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:47.911615image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.32063017
Q10.47064942
median0.56644049
Q30.66390493
95-th percentile0.79844624
Maximum1
Range1
Interquartile range (IQR)0.19325551

Descriptive statistics

Standard deviation0.145636
Coefficient of variation (CV)0.25725973
Kurtosis0.15505472
Mean0.56610493
Median Absolute Deviation (MAD)0.096600804
Skewness-0.076406432
Sum792.5469
Variance0.021209846
MonotonicityNot monotonic
2024-02-05T21:40:48.030477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3352200237 1
 
0.1%
0.5947207543 1
 
0.1%
0.5339070296 1
 
0.1%
0.3994637873 1
 
0.1%
0.6018371146 1
 
0.1%
0.9838904862 1
 
0.1%
0.6308235944 1
 
0.1%
0.7040089352 1
 
0.1%
0.5653247135 1
 
0.1%
0.5807659632 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0 1
0.1%
0.0618163861 1
0.1%
0.1151758208 1
0.1%
0.1359190786 1
0.1%
0.1509209283 1
0.1%
0.168810652 1
0.1%
0.1705539432 1
0.1%
0.1742692469 1
0.1%
0.1786677382 1
0.1%
0.1907619 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.9838904862 1
0.1%
0.967540611 1
0.1%
0.9639432521 1
0.1%
0.9582939239 1
0.1%
0.9550909212 1
0.1%
0.9517127227 1
0.1%
0.9499168988 1
0.1%
0.9450001744 1
0.1%
0.942066914 1
0.1%

feat05
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50434055
Minimum2.1340093 × 10-5
Maximum0.99895217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:48.150186image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2.1340093 × 10-5
5-th percentile0.049084942
Q10.24569362
median0.50571674
Q30.76142762
95-th percentile0.95150425
Maximum0.99895217
Range0.99893083
Interquartile range (IQR)0.515734

Descriptive statistics

Standard deviation0.29306208
Coefficient of variation (CV)0.58107975
Kurtosis-1.2278129
Mean0.50434055
Median Absolute Deviation (MAD)0.2579252
Skewness-0.019268498
Sum706.07676
Variance0.085885381
MonotonicityNot monotonic
2024-02-05T21:40:48.276298image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0729213208 1
 
0.1%
0.6041088516 1
 
0.1%
0.3942360894 1
 
0.1%
0.6456738592 1
 
0.1%
0.9608207473 1
 
0.1%
0.4606518559 1
 
0.1%
0.9181344914 1
 
0.1%
0.9024328983 1
 
0.1%
0.3693729704 1
 
0.1%
0.408400439 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
2.134009264 × 10-51
0.1%
0.0008465833962 1
0.1%
0.001483254367 1
0.1%
0.002090687631 1
0.1%
0.004393054638 1
0.1%
0.004806077806 1
0.1%
0.005871692207 1
0.1%
0.00597916916 1
0.1%
0.006347237621 1
0.1%
0.006683753803 1
0.1%
ValueCountFrequency (%)
0.9989521687 1
0.1%
0.9988270211 1
0.1%
0.9976232736 1
0.1%
0.9956799063 1
0.1%
0.995364835 1
0.1%
0.9950883212 1
0.1%
0.9950578169 1
0.1%
0.9944826772 1
0.1%
0.9934629544 1
0.1%
0.9933251711 1
0.1%

feat06
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4914521
Minimum3.6350684 × 10-5
Maximum0.99794713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:48.449891image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3.6350684 × 10-5
5-th percentile0.04461966
Q10.23218641
median0.49251435
Q30.74583193
95-th percentile0.9450175
Maximum0.99794713
Range0.99791078
Interquartile range (IQR)0.51364551

Descriptive statistics

Standard deviation0.29346354
Coefficient of variation (CV)0.59713558
Kurtosis-1.2214231
Mean0.4914521
Median Absolute Deviation (MAD)0.25611811
Skewness0.017887196
Sum688.03294
Variance0.086120848
MonotonicityNot monotonic
2024-02-05T21:40:48.577150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5506544507 1
 
0.1%
0.7897740023 1
 
0.1%
0.1274849912 1
 
0.1%
0.3909830533 1
 
0.1%
0.3157155111 1
 
0.1%
0.712941099 1
 
0.1%
0.00558102061 1
 
0.1%
0.4984458347 1
 
0.1%
0.9616298082 1
 
0.1%
0.21984122 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
3.635068424 × 10-51
0.1%
0.0006435015239 1
0.1%
0.001325609395 1
0.1%
0.00155711337 1
0.1%
0.001593595836 1
0.1%
0.00239643571 1
0.1%
0.004531650338 1
0.1%
0.004543734482 1
0.1%
0.00558102061 1
0.1%
0.006348350551 1
0.1%
ValueCountFrequency (%)
0.9979471276 1
0.1%
0.9973893333 1
0.1%
0.9972525099 1
0.1%
0.9959495489 1
0.1%
0.9956382776 1
0.1%
0.9950948639 1
0.1%
0.9943479914 1
0.1%
0.9912445231 1
0.1%
0.988775719 1
0.1%
0.9881966321 1
0.1%

feat07
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53367248
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:48.710914image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.26961874
Q10.43196982
median0.53434513
Q30.63435141
95-th percentile0.79005978
Maximum1
Range1
Interquartile range (IQR)0.20238159

Descriptive statistics

Standard deviation0.15547269
Coefficient of variation (CV)0.29132604
Kurtosis0.021814383
Mean0.53367248
Median Absolute Deviation (MAD)0.10127263
Skewness-0.076254882
Sum747.14147
Variance0.024171756
MonotonicityNot monotonic
2024-02-05T21:40:48.876936image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3214622739 1
 
0.1%
0.29991706 1
 
0.1%
0.4915123579 1
 
0.1%
0.6321308741 1
 
0.1%
0.4706997798 1
 
0.1%
0.6396418572 1
 
0.1%
0.3077604203 1
 
0.1%
0.383311564 1
 
0.1%
0.7027752827 1
 
0.1%
0.4713937777 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0 1
0.1%
0.03505643852 1
0.1%
0.04084860319 1
0.1%
0.08654458358 1
0.1%
0.09846715184 1
0.1%
0.1094704224 1
0.1%
0.11423996 1
0.1%
0.1202416225 1
0.1%
0.1228718795 1
0.1%
0.1363088133 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.9776624609 1
0.1%
0.9507569989 1
0.1%
0.9441235761 1
0.1%
0.9363636848 1
0.1%
0.9328141146 1
0.1%
0.9262140941 1
0.1%
0.9218709208 1
0.1%
0.9108784124 1
0.1%
0.9055982913 1
0.1%

feat08
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49568046
Minimum0.00013513933
Maximum0.99872581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:49.027436image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.00013513933
5-th percentile0.044299682
Q10.23220404
median0.50827326
Q30.74798065
95-th percentile0.94976681
Maximum0.99872581
Range0.99859067
Interquartile range (IQR)0.51577661

Descriptive statistics

Standard deviation0.29277484
Coefficient of variation (CV)0.59065237
Kurtosis-1.2446097
Mean0.49568046
Median Absolute Deviation (MAD)0.26180936
Skewness-0.0064100085
Sum693.95265
Variance0.085717107
MonotonicityNot monotonic
2024-02-05T21:40:49.283848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7428443094 1
 
0.1%
0.06116398238 1
 
0.1%
0.1758348923 1
 
0.1%
0.5991138276 1
 
0.1%
0.5253367352 1
 
0.1%
0.9750113301 1
 
0.1%
0.174562919 1
 
0.1%
0.2414241559 1
 
0.1%
0.4203391196 1
 
0.1%
0.01950418809 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0.0001351393294 1
0.1%
0.0005971672945 1
0.1%
0.0006015223917 1
0.1%
0.00212969305 1
0.1%
0.002584398957 1
0.1%
0.003739724169 1
0.1%
0.004623003304 1
0.1%
0.005528222071 1
0.1%
0.005738873733 1
0.1%
0.006814908236 1
0.1%
ValueCountFrequency (%)
0.9987258101 1
0.1%
0.9977389462 1
0.1%
0.9975503203 1
0.1%
0.9971956892 1
0.1%
0.9968809169 1
0.1%
0.995473074 1
0.1%
0.9915620279 1
0.1%
0.9906092526 1
0.1%
0.9897592037 1
0.1%
0.9896472194 1
0.1%

feat09
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48123102
Minimum0.0014770888
Maximum0.99933466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:49.545874image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0014770888
5-th percentile0.044845684
Q10.24650403
median0.47153061
Q30.70879876
95-th percentile0.93490461
Maximum0.99933466
Range0.99785757
Interquartile range (IQR)0.46229473

Descriptive statistics

Standard deviation0.28232161
Coefficient of variation (CV)0.58666544
Kurtosis-1.1198046
Mean0.48123102
Median Absolute Deviation (MAD)0.23277975
Skewness0.06651024
Sum673.72343
Variance0.079705491
MonotonicityNot monotonic
2024-02-05T21:40:49.755165image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.120580673 1
 
0.1%
0.6948496271 1
 
0.1%
0.7712766409 1
 
0.1%
0.6771692163 1
 
0.1%
0.5397221849 1
 
0.1%
0.8445921862 1
 
0.1%
0.7504680238 1
 
0.1%
0.6751539691 1
 
0.1%
0.2670510397 1
 
0.1%
0.5216773681 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
0.001477088779 1
0.1%
0.002662826097 1
0.1%
0.002741502598 1
0.1%
0.003118808148 1
0.1%
0.004299873486 1
0.1%
0.00491530518 1
0.1%
0.006781272124 1
0.1%
0.007304522675 1
0.1%
0.007797572296 1
0.1%
0.007832615403 1
0.1%
ValueCountFrequency (%)
0.9993346636 1
0.1%
0.9984464229 1
0.1%
0.9984056132 1
0.1%
0.9977406005 1
0.1%
0.9965994745 1
0.1%
0.9944569608 1
0.1%
0.9938781227 1
0.1%
0.9936662563 1
0.1%
0.9931787425 1
0.1%
0.9927857232 1
0.1%

feat10
Real number (ℝ)

UNIQUE 

Distinct1400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5096565
Minimum8.3824387 × 10-5
Maximum0.99940193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:50.181403image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.3824387 × 10-5
5-th percentile0.044099629
Q10.25863567
median0.50998713
Q30.76222699
95-th percentile0.95593152
Maximum0.99940193
Range0.9993181
Interquartile range (IQR)0.50359132

Descriptive statistics

Standard deviation0.29097963
Coefficient of variation (CV)0.57093284
Kurtosis-1.1833992
Mean0.5096565
Median Absolute Deviation (MAD)0.25246282
Skewness-0.042086939
Sum713.5191
Variance0.084669148
MonotonicityNot monotonic
2024-02-05T21:40:50.330110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7629638247 1
 
0.1%
0.6821099257 1
 
0.1%
0.6126222713 1
 
0.1%
0.9100925163 1
 
0.1%
0.1642001618 1
 
0.1%
0.8909985691 1
 
0.1%
0.8849234493 1
 
0.1%
0.2522406036 1
 
0.1%
0.1330603897 1
 
0.1%
0.3667063939 1
 
0.1%
Other values (1390) 1390
99.3%
ValueCountFrequency (%)
8.382438682 × 10-51
0.1%
0.001184836263 1
0.1%
0.00247569615 1
0.1%
0.003179439576 1
0.1%
0.003345007775 1
0.1%
0.003621654818 1
0.1%
0.004788841121 1
0.1%
0.005251690047 1
0.1%
0.005647529615 1
0.1%
0.007858018391 1
0.1%
ValueCountFrequency (%)
0.9994019265 1
0.1%
0.9993880792 1
0.1%
0.9991487751 1
0.1%
0.9985899583 1
0.1%
0.9980946493 1
0.1%
0.9971789946 1
0.1%
0.9957846862 1
0.1%
0.9955347735 1
0.1%
0.995510035 1
0.1%
0.9950689133 1
0.1%

fixed acidity
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4735
Minimum4.8
Maximum16.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:50.471436image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile6.3
Q17.3
median8.1
Q39.4
95-th percentile11.8
Maximum16.1
Range11.3
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.6950263
Coefficient of variation (CV)0.20003851
Kurtosis0.8968868
Mean8.4735
Median Absolute Deviation (MAD)1
Skewness0.89251986
Sum11862.9
Variance2.8731143
MonotonicityNot monotonic
2024-02-05T21:40:50.601779image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 59
 
4.2%
7.3 53
 
3.8%
7.7 50
 
3.6%
7.2 48
 
3.4%
7 46
 
3.3%
8.1 44
 
3.1%
8.5 42
 
3.0%
7.9 42
 
3.0%
7.5 39
 
2.8%
8.4 39
 
2.8%
Other values (82) 938
67.0%
ValueCountFrequency (%)
4.8 2
 
0.1%
4.9 1
 
0.1%
5.1 1
 
0.1%
5.2 4
 
0.3%
5.3 6
0.4%
5.4 7
0.5%
5.5 3
 
0.2%
5.6 4
 
0.3%
5.8 14
1.0%
5.9 4
 
0.3%
ValueCountFrequency (%)
16.1 1
 
0.1%
15.8 1
 
0.1%
15.7 1
 
0.1%
14.5 1
 
0.1%
14.2 1
 
0.1%
14 1
 
0.1%
13.9 1
 
0.1%
13.5 2
0.1%
13.4 4
0.3%
13.2 2
0.1%

free sulfur dioxide
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.6825
Minimum3
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:50.742141image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q19
median15
Q323
95-th percentile37
Maximum74
Range71
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.182296
Coefficient of variation (CV)0.57584027
Kurtosis1.6489427
Mean17.6825
Median Absolute Deviation (MAD)6
Skewness1.1788253
Sum24755.5
Variance103.67914
MonotonicityNot monotonic
2024-02-05T21:40:50.902638image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 123
 
8.8%
7 94
 
6.7%
14 72
 
5.1%
9 69
 
4.9%
17 68
 
4.9%
12 65
 
4.6%
19 63
 
4.5%
11 55
 
3.9%
13 54
 
3.9%
10 53
 
3.8%
Other values (46) 684
48.9%
ValueCountFrequency (%)
3 3
 
0.2%
4 1
 
0.1%
5 40
 
2.9%
6 31
 
2.2%
7 94
6.7%
7.5 1
 
0.1%
8 123
8.8%
9 69
4.9%
10 53
3.8%
11 55
3.9%
ValueCountFrequency (%)
74 1
 
0.1%
68 1
 
0.1%
59 1
 
0.1%
57 1
 
0.1%
54 2
 
0.1%
53 5
0.4%
52 2
 
0.1%
50 4
0.3%
49 1
 
0.1%
47 2
 
0.1%

pH
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3411714
Minimum2.77
Maximum4.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:51.024967image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2.77
5-th percentile3.09
Q13.2475
median3.34
Q33.43
95-th percentile3.6
Maximum4.04
Range1.27
Interquartile range (IQR)0.1825

Descriptive statistics

Standard deviation0.15516985
Coefficient of variation (CV)0.046441751
Kurtosis1.077906
Mean3.3411714
Median Absolute Deviation (MAD)0.09
Skewness0.21831601
Sum4677.64
Variance0.024077683
MonotonicityNot monotonic
2024-02-05T21:40:51.244242image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.29 52
 
3.7%
3.33 50
 
3.6%
3.37 45
 
3.2%
3.32 43
 
3.1%
3.35 43
 
3.1%
3.42 42
 
3.0%
3.31 40
 
2.9%
3.39 39
 
2.8%
3.25 39
 
2.8%
3.34 38
 
2.7%
Other values (75) 969
69.2%
ValueCountFrequency (%)
2.77 2
 
0.1%
2.89 1
 
0.1%
2.9 1
 
0.1%
2.91 1
 
0.1%
2.92 5
0.4%
2.95 2
 
0.1%
2.96 4
0.3%
2.97 4
0.3%
3.01 4
0.3%
3.02 3
0.2%
ValueCountFrequency (%)
4.04 2
 
0.1%
3.93 3
0.2%
3.88 1
 
0.1%
3.81 1
 
0.1%
3.77 1
 
0.1%
3.75 3
0.2%
3.74 5
0.4%
3.72 3
0.2%
3.71 4
0.3%
3.7 3
0.2%

quality
Real number (ℝ)

Distinct1300
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6728799
Minimum1.7797479
Maximum10.545302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:51.378925image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1.7797479
5-th percentile3.5942386
Q14.8768159
median5.6804221
Q36.4738934
95-th percentile7.7098739
Maximum10.545302
Range8.7655537
Interquartile range (IQR)1.5970775

Descriptive statistics

Standard deviation1.2283272
Coefficient of variation (CV)0.21652622
Kurtosis0.32591743
Mean5.6728799
Median Absolute Deviation (MAD)0.80248353
Skewness0.0033678741
Sum7942.0319
Variance1.5087878
MonotonicityNot monotonic
2024-02-05T21:40:51.492150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.842099854 3
 
0.2%
3.017258524 3
 
0.2%
5.625355045 3
 
0.2%
5.671867535 3
 
0.2%
5.742491741 3
 
0.2%
4.676691338 3
 
0.2%
6.318765506 3
 
0.2%
5.599404734 2
 
0.1%
4.504045622 2
 
0.1%
6.59175471 2
 
0.1%
Other values (1290) 1373
98.1%
ValueCountFrequency (%)
1.779747853 1
0.1%
1.780942057 1
0.1%
1.826910264 1
0.1%
1.906407031 1
0.1%
1.966992248 1
0.1%
2.047106502 1
0.1%
2.072937311 1
0.1%
2.155956309 1
0.1%
2.424443 1
0.1%
2.489668328 1
0.1%
ValueCountFrequency (%)
10.54530159 1
0.1%
9.986708133 1
0.1%
9.603403429 1
0.1%
9.553010119 1
0.1%
9.314294886 1
0.1%
9.230238041 1
0.1%
9.191091777 1
0.1%
8.930241055 1
0.1%
8.925837281 1
0.1%
8.832066203 1
0.1%

residual sugar
Real number (ℝ)

Distinct84
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4780357
Minimum0.8
Maximum15.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:51.626007image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.5
Q11.8
median2.1
Q32.5
95-th percentile5.305
Maximum15.4
Range14.6
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.4958047
Coefficient of variation (CV)0.60362517
Kurtosis27.154012
Mean2.4780357
Median Absolute Deviation (MAD)0.3
Skewness4.5014575
Sum3469.25
Variance2.2374318
MonotonicityNot monotonic
2024-02-05T21:40:51.742442image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 146
 
10.4%
2 114
 
8.1%
1.7 110
 
7.9%
2.1 108
 
7.7%
1.8 98
 
7.0%
2.2 91
 
6.5%
2.4 79
 
5.6%
2.3 72
 
5.1%
2.5 68
 
4.9%
1.6 64
 
4.6%
Other values (74) 450
32.1%
ValueCountFrequency (%)
0.8 1
 
0.1%
1.1 8
 
0.6%
1.2 4
 
0.3%
1.3 32
 
2.3%
1.4 22
 
1.6%
1.5 49
3.5%
1.55 1
 
0.1%
1.6 64
4.6%
1.65 1
 
0.1%
1.7 110
7.9%
ValueCountFrequency (%)
15.4 2
0.1%
15.3 1
 
0.1%
13.8 1
 
0.1%
13.7 3
0.2%
13.3 1
 
0.1%
12.8 1
 
0.1%
10.9 1
 
0.1%
10.6 2
0.1%
8.9 2
0.1%
8.7 2
0.1%

sulphates
Real number (ℝ)

Distinct90
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6599143
Minimum4.33
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:51.909033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum4.33
5-th percentile4.47
Q14.55
median4.62
Q34.73
95-th percentile4.9605
Maximum6
Range1.67
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.17692471
Coefficient of variation (CV)0.037967373
Kurtosis13.874858
Mean4.6599143
Median Absolute Deviation (MAD)0.08
Skewness2.6914293
Sum6523.88
Variance0.031302351
MonotonicityNot monotonic
2024-02-05T21:40:52.066377image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6 71
 
5.1%
4.58 62
 
4.4%
4.62 59
 
4.2%
4.54 54
 
3.9%
4.56 53
 
3.8%
4.59 47
 
3.4%
4.55 47
 
3.4%
4.53 42
 
3.0%
4.57 42
 
3.0%
4.61 42
 
3.0%
Other values (80) 881
62.9%
ValueCountFrequency (%)
4.33 1
 
0.1%
4.37 3
 
0.2%
4.39 5
 
0.4%
4.4 5
 
0.4%
4.42 6
 
0.4%
4.43 8
0.6%
4.44 7
 
0.5%
4.45 13
0.9%
4.46 18
1.3%
4.47 14
1.0%
ValueCountFrequency (%)
6 2
0.1%
5.98 2
0.1%
5.95 2
0.1%
5.61 1
0.1%
5.36 2
0.1%
5.34 2
0.1%
5.31 1
0.1%
5.28 2
0.1%
5.26 1
0.1%
5.22 1
0.1%

total sulfur dioxide
Real number (ℝ)

HIGH CORRELATION 

Distinct147
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.018214
Minimum4
Maximum287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:52.213313image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11
Q122
median37
Q362
95-th percentile111.05
Maximum287
Range283
Interquartile range (IQR)40

Descriptive statistics

Standard deviation33.115608
Coefficient of variation (CV)0.71961959
Kurtosis5.7210679
Mean46.018214
Median Absolute Deviation (MAD)18
Skewness1.7520403
Sum64425.5
Variance1096.6435
MonotonicityNot monotonic
2024-02-05T21:40:52.404144image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 40
 
2.9%
21 33
 
2.4%
26 33
 
2.4%
27 32
 
2.3%
24 31
 
2.2%
25 29
 
2.1%
14 29
 
2.1%
12 28
 
2.0%
22 27
 
1.9%
18 27
 
1.9%
Other values (137) 1091
77.9%
ValueCountFrequency (%)
4 1
 
0.1%
5 1
 
0.1%
6 4
 
0.3%
7 3
 
0.2%
8 8
 
0.6%
9 14
1.0%
10 26
1.9%
11 19
1.4%
12 28
2.0%
13 25
1.8%
ValueCountFrequency (%)
287 1
 
0.1%
279 2
0.1%
164 1
 
0.1%
159 1
 
0.1%
154 1
 
0.1%
153 1
 
0.1%
149 2
0.1%
147 4
0.3%
146 2
0.1%
145 1
 
0.1%

volatile acidity
Real number (ℝ)

HIGH CORRELATION 

Distinct173
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53220357
Minimum0.1
Maximum1.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-02-05T21:40:52.534955image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.28
Q10.39
median0.52
Q30.64
95-th percentile0.86
Maximum1.33
Range1.23
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.17932918
Coefficient of variation (CV)0.33695598
Kurtosis0.47117996
Mean0.53220357
Median Absolute Deviation (MAD)0.1225
Skewness0.55900661
Sum745.085
Variance0.032158954
MonotonicityNot monotonic
2024-02-05T21:40:52.650184image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.38 39
 
2.8%
0.49 37
 
2.6%
0.61 35
 
2.5%
0.6 33
 
2.4%
0.44 33
 
2.4%
0.59 32
 
2.3%
0.36 32
 
2.3%
0.32 30
 
2.1%
0.42 30
 
2.1%
0.5 29
 
2.1%
Other values (163) 1070
76.4%
ValueCountFrequency (%)
0.1 1
 
0.1%
0.11 1
 
0.1%
0.16 3
 
0.2%
0.17 1
 
0.1%
0.18 3
 
0.2%
0.19 4
0.3%
0.2 3
 
0.2%
0.2 3
 
0.2%
0.21 2
 
0.1%
0.22 8
0.6%
ValueCountFrequency (%)
1.33 1
0.1%
1.23 1
0.1%
1.19 1
0.1%
1.16 1
0.1%
1.135 1
0.1%
1.12 1
0.1%
1.11 1
0.1%
1.07 2
0.1%
1.04 2
0.1%
1.035 1
0.1%

Interactions

2024-02-05T21:40:41.705801image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:34.646327image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:37.583788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:40.820763image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:43.690786image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:47.152752image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:50.229231image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:53.504344image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:56.818813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:59.888844image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:02.872223image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:06.059596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:08.864211image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:12.035646image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:15.023819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:17.827594image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:20.901896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.324538image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.393468image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:30.084145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:32.649792image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:35.967403image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:38.804960image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:41.809788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:34.806209image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:37.700997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:40.964454image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:43.813896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:47.349385image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:50.348207image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:53.749845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:56.975212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:00.043381image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:02.993178image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:06.174356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:08.973814image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:12.139416image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:15.145865image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:17.937300image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:21.154520image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.429860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.513948image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:30.193929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:32.788678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:36.076242image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:38.922139image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:41.959068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:34.916844image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:37.812903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:41.070300image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:43.931326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:47.543389image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:50.515319image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:53.876123image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:57.073051image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:00.148365image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:03.127019image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:06.291031image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:09.106130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:12.256608image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:15.256304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:18.046798image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:21.250968image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.532967image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.629831image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:30.314440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:33.014533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:36.191934image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:39.026370image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:42.179716image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:35.023626image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:37.956852image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:41.175114image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:44.047291image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:47.656438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:50.637958image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:53.991152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:57.208218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:00.252617image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:03.267433image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:06.422864image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:09.221786image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:12.400324image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:15.388265image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:18.195252image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:21.362426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.638831image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.760929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:30.426482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:33.182319image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:36.319108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:39.163697image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:42.330023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:35.125260image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:38.058575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:41.281845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:44.186571image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:47.770742image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:50.773889image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:54.081970image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:57.318947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:00.351772image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:03.678798image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:06.526466image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:09.332313image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:12.501459image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:15.542687image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:18.336202image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:21.508333image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.806664image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.861507image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:30.561847image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:33.547461image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:36.417621image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:39.278821image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:42.430745image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:35.241120image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:38.228096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:39:41.403740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2024-02-05T21:40:08.764793image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:11.777155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:14.912635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:17.721548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:20.752079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:24.197395image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:27.275881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:29.956010image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:32.522624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:35.820121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:38.644403image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2024-02-05T21:40:41.584645image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2024-02-05T21:40:52.786035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
alcoholchloridescitric aciddensityfeat01feat02feat03feat04feat05feat06feat07feat08feat09feat10fixed acidityfree sulfur dioxideidpHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
alcohol1.000-0.2800.103-0.175-0.0140.0080.0580.016-0.033-0.0070.0490.0050.0320.007-0.068-0.1170.0010.1830.2840.1150.187-0.272-0.238
chlorides-0.2801.0000.1490.1110.009-0.007-0.051-0.0150.0230.021-0.014-0.002-0.0130.0170.276-0.003-0.031-0.274-0.0860.1930.0530.1010.085
citric acid0.1030.1491.0000.137-0.023-0.0220.007-0.011-0.0420.011-0.021-0.008-0.022-0.0070.661-0.0640.001-0.5580.1270.1680.3340.030-0.630
density-0.1750.1110.1371.000-0.015-0.023-0.020-0.002-0.0370.001-0.0230.013-0.029-0.0230.215-0.0210.021-0.140-0.0010.1180.0510.032-0.025
feat01-0.0140.009-0.023-0.0151.0000.0380.0280.035-0.0260.016-0.0140.0060.0020.0060.0100.048-0.014-0.0190.001-0.001-0.0130.0480.031
feat020.008-0.007-0.022-0.0230.0381.0000.0400.0560.0260.0110.0500.0490.0060.064-0.0150.0040.0400.0090.019-0.024-0.0200.000-0.002
feat030.058-0.0510.007-0.0200.0280.0401.0000.008-0.011-0.0060.0430.006-0.0570.029-0.027-0.000-0.0040.0170.0210.0070.018-0.021-0.008
feat040.016-0.015-0.011-0.0020.0350.0560.0081.0000.032-0.0260.0450.035-0.0210.0130.0280.0040.0160.0110.1990.0060.073-0.013-0.035
feat05-0.0330.023-0.042-0.037-0.0260.026-0.0110.0321.0000.040-0.040-0.025-0.0060.0050.002-0.0120.021-0.014-0.0160.022-0.022-0.0080.054
feat06-0.0070.0210.0110.0010.0160.011-0.006-0.0260.0401.0000.0250.064-0.0360.0260.032-0.005-0.020-0.0330.0030.0090.068-0.0180.007
feat070.049-0.014-0.021-0.023-0.0140.0500.0430.045-0.0400.0251.000-0.011-0.0210.010-0.0310.022-0.0220.0470.261-0.0250.064-0.001-0.028
feat080.005-0.002-0.0080.0130.0060.0490.0060.035-0.0250.064-0.0111.000-0.0380.012-0.0280.042-0.0200.0050.0540.010-0.0100.043-0.029
feat090.032-0.013-0.022-0.0290.0020.006-0.057-0.021-0.006-0.036-0.021-0.0381.0000.035-0.036-0.0170.0260.0410.028-0.0090.013-0.031-0.006
feat100.0070.017-0.007-0.0230.0060.0640.0290.0130.0050.0260.0100.0120.0351.000-0.038-0.029-0.0310.0140.007-0.006-0.009-0.034-0.007
fixed acidity-0.0680.2760.6610.2150.010-0.015-0.0270.0280.0020.032-0.031-0.028-0.036-0.0381.000-0.1950.043-0.7130.0580.2350.214-0.087-0.299
free sulfur dioxide-0.117-0.003-0.064-0.0210.0480.004-0.0000.004-0.012-0.0050.0220.042-0.017-0.029-0.1951.000-0.0170.110-0.0750.0690.0270.7920.018
id0.001-0.0310.0010.021-0.0140.040-0.0040.0160.021-0.020-0.022-0.0200.026-0.0310.043-0.0171.000-0.019-0.0070.037-0.020-0.0100.009
pH0.183-0.274-0.558-0.140-0.0190.0090.0170.011-0.014-0.0330.0470.0050.0410.014-0.7130.110-0.0191.000-0.035-0.091-0.089-0.0220.259
quality0.284-0.0860.127-0.0010.0010.0190.0210.199-0.0160.0030.2610.0540.0280.0070.058-0.075-0.007-0.0351.0000.0270.223-0.141-0.257
residual sugar0.1150.1930.1680.118-0.001-0.0240.0070.0060.0220.009-0.0250.010-0.009-0.0060.2350.0690.037-0.0910.0271.000-0.0140.1240.026
sulphates0.1870.0530.3340.051-0.013-0.0200.0180.073-0.0220.0680.064-0.0100.013-0.0090.2140.027-0.020-0.0890.223-0.0141.0000.003-0.329
total sulfur dioxide-0.2720.1010.0300.0320.0480.000-0.021-0.013-0.008-0.018-0.0010.043-0.031-0.034-0.0870.792-0.010-0.022-0.1410.1240.0031.0000.068
volatile acidity-0.2380.085-0.630-0.0250.031-0.002-0.008-0.0350.0540.007-0.028-0.029-0.006-0.007-0.2990.0180.0090.259-0.2570.026-0.3290.0681.000

Missing values

2024-02-05T21:40:44.749470image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-05T21:40:45.121762image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idalcoholchloridescitric aciddensityfeat01feat02feat03feat04feat05feat06feat07feat08feat09feat10fixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
019.60.0810.440.989200.7771740.1018110.6159490.3352200.0729210.5506540.3214620.7428440.1205810.7629649.723.03.494.2485822.24.6367.00.600
1211.90.0740.011.003710.6823780.7026890.5951870.7383170.0796080.3600160.6684800.1584040.3776440.7046097.933.03.446.3655232.04.5741.00.725
239.60.0840.491.008700.4770760.4918140.1230140.4916480.1123960.1132220.4138350.3881200.5136070.3342239.223.03.385.0946802.54.5775.00.470
3411.00.0810.331.004900.7459250.7416570.7698870.2980420.1677620.5036320.8391530.1017330.1572310.7460547.124.03.445.9035332.14.7536.00.410
459.40.0800.240.996200.7294060.6067210.4258110.2766050.9441170.5832650.5425870.0152010.7969450.7332687.86.03.316.2670951.74.5912.00.420
569.30.0800.421.007400.8262970.9005820.8674190.5626460.6835700.3102240.6261170.8039380.6778490.4866048.513.03.245.8634691.94.8028.00.240
678.90.0740.301.007170.1926520.3070050.7959110.5426830.6872400.0006440.4805680.0005970.2031210.0318488.234.03.425.1030391.84.6182.00.400
7810.60.0840.570.986900.8176370.0817580.3613440.3944260.5576880.6095280.2495490.2238460.3202150.3418009.529.03.314.4155821.94.7963.00.300
8911.10.0830.351.006220.4461580.5020180.2665230.5250320.4507660.9786910.7001320.2203480.1502010.2594739.819.03.266.4975872.04.6640.00.440
9109.10.0580.030.997200.5204430.3503870.7666190.4580330.6916860.2948210.4347140.7241020.9219180.5269048.16.03.393.6307241.74.3310.00.905
idalcoholchloridescitric aciddensityfeat01feat02feat03feat04feat05feat06feat07feat08feat09feat10fixed acidityfree sulfur dioxidepHqualityresidual sugarsulphatestotal sulfur dioxidevolatile acidity
139013919.70.0720.020.987440.2242700.9104980.0487910.7267610.2167080.5123280.4564860.1627080.6558330.3873827.326.03.585.4040172.24.5393.00.57
1391139212.40.0410.001.002580.6278830.2558980.9680500.3842550.4247300.0072500.3744750.8493610.3268600.9385945.618.04.044.9016621.14.5948.00.72
139213939.90.0660.040.986360.3508900.6714570.5265050.5019640.4224100.4621620.4629480.2643980.6265260.3628906.814.03.563.6893452.14.5618.00.87
139313949.40.6101.000.989600.0884620.4925370.6236170.5528710.5532350.0374400.5104270.0533700.8685630.7821089.434.02.774.5829243.36.0067.00.51
1394139510.60.0820.500.990600.5971920.8894880.4525710.7923620.6293960.4758630.6253650.7332040.1058700.40883612.18.03.156.3319182.54.7833.00.56
1395139610.40.0820.350.997980.1924360.7235440.1999290.4306880.9678640.3339390.5007690.6509950.4099500.01779410.726.03.246.5352303.24.6969.00.42
139613979.40.0950.440.997080.7042940.0392720.1618630.3140710.7749610.3702150.4800950.3726770.5173850.4520049.511.03.314.5686971.84.5523.00.43
1397139810.10.0940.191.007870.8824300.4401480.8378190.5697970.3573970.9643990.2816630.2837310.5531420.4636339.032.03.257.2422713.94.5071.00.60
139813999.30.0620.151.005500.5451920.7766210.8973080.4933200.9826280.7439840.4532310.1454500.5735660.5660896.38.03.455.2884511.74.5721.00.38
1399140010.20.0680.301.009140.7019310.9397970.9396780.4105660.8180640.0568380.2697030.7678810.0312860.6789987.222.03.333.6402504.45.17111.00.60